Tae S Kim's Online Review Report Card
Tae S Kim
2.8
Average Star Rating
11
Total Reviews
0
Recent Reviews
5
Review Sites Found
Accepts Medicare
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Medical School
-
Graduation Year
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Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Tae S Kim does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
WebMD
Yelp
HealthGrades
Facebook
RateMDs
List of Tae S Kim's Reviews
Three women in the front desk. These staffs are unfriendly and refused assist patients. SIMPLY NASTY people. I called 1:44 pm & wanted to make an urgent appointment. Staff named Helen told me I needed to get a referral from my primary doctor first. Otherwise, she would not even talk to me. For my primary doctor's help, I've got an urgent referral. It was 2:20 pm. Then, Helen told me her clinic close at 3 pm & fully booked, so she would not give me urgent appointment today. She should notify me her clinic close at 3 pm when I called her at 1:44pm. Then, I would not pursue getting urgent referral nor try to make an appointment with her. I would get referral to see other ophthalmology in my area. She wasted my valuable time. Helen knew she would not give me an urgent appointment even though I've had referral from my primary doctor. I confronted her, then, she asked me to either admit it to an urgent care or seek help from my primary doctor. I've been urgent care before, it is not for the place for eye patience. No sympathy for sick patience. Bad staffs to deal with. ZERO STAR office.
Reviewed On Google
Deleted
Reviewed On Google
Receptionist is very unprofessional and rude!! Dr.kim is very famous and good but need to check the staff's attitude!!!
Reviewed On Google
The staff changed my appointment date without getting hold of me. So I had to go home with nothing. It is really unprofessional.
Reviewed On Vitals
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Selection Criteria
All the information you see here is based on our analysis of internet reviews across the seven major review platforms most used by consumers during their healthcare provider selection. The platforms we selected are Google, WebMD, Yelp, HealthGrades, Facebook, RateMDs, and Vitals. The analysis algorithm uses the compiled data of average score, recency of reviews, number of reviews, and the sentiment expressed in the written comments. It then assigns weight to each parameter based on the available research on how consumers use reviews in their doctor selection process. This report is designed to help identify the doctors with the best overall review score in an area and does not reflect the doctors' competence.
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